Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization

Ben, Ubong C.; Ekwok, Stephen E.; Akpan, Anthony E.; Mbonu, Charles Chisom; Eldosouky, Ahmed M.; Abdelrahman, Kamal; Gómez-Ortíz, David

doi:10.3389/feart.2022.849079

Cited by 21 publications

(9 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These techniques are suitable for delineating isolated/multiple magnetic source geometries and vertical contact, as well as magnetic susceptibility disparity (Telford et al, 1990). Magnetic technique is a potential tool that can be applied in the evaluation of the lateral extent of several high temperature geothermal sources in young volcanic rocks (Ben et al, 2022a;. To ensure various geothermal anomalies are well mapped, the magnetic data of investigated area were sectioned into 61 spectral blocks with 50% overlay of each block.…”

Section: Airborne Magnetic Data Have Been Qualitativelymentioning

confidence: 99%

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Ekwok¹,

Achadu²,

Ugar³

et al. 2023

Glo Jnl Geo Sci

View full text Add to dashboard Cite

The Bornu Basin in northeast Nigeria was studied using high-resolution airborne magnetic data with the objective of improving the reliability of mapped magnetic and geothermal anomalies, and depth solutions. Necessary enhancement operations like analytic signal (ASIG), upward continuation, depth assessment methods involving standard Euler deconvolution (SED) and source parameter imaging (SPI) as well as spectral analysis applying the centroid technique were applied. The middle and southern parts are dominated by high frequency anomalies as revealed by the ASIG map. Furthermore, the magnetic data, when upward continued to 5 km, revealed avalanche of deeply buried igneous intrusions that created near-surface magnetic sources and geologic structures. Maximum thicknesses of sedimentary series estimated from SED and SPI, are respectively ~5974.7 and ~5885.3 m. These values correlate correlated relatively well with depth to the top boundary (Zt) of ~6550 m obtained from the centroid technique. These depth estimates reveal sequence of thick sediments overlying igneous intrusions and falls under the prospective geothermal anomaly zones characterised by high geothermal gradient (GG) (>55 °C/km) and heat flow (HF) (>130 mW/m2) values. Areas characterised by high geothermal anomalies correspond to igneous intrusion-dominated shallow Curie point depths (CPD or Zb).

show abstract

Section: Airborne Magnetic Data Have Been Qualitativelymentioning

confidence: 99%

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Ekwok¹,

Achadu²,

Ugar³

et al. 2023

Glo Jnl Geo Sci

View full text Add to dashboard Cite

show abstract

“…However, because of the well‐known ill‐posedness and non‐uniqueness nature of the geomagnetic data inversion problem, explanation of anomaly sources, that is, model parameter estimations, necessitate some special strategies and efficient approaches (Ekinci et al., 2019). Over the recent years, instead of derivative‐based local optimizers, derivative‐free nature‐inspired global optimizers and metaheuristics such as Particle Swarm Optimization (PSO) (Essa, Abo‐Ezz, et al., 2022; Essa & Elhussein, 2020; Fernández‐Martínez et al., 2010; Pallero et al., 2015; Roy et al., 2022; Santos, 2010), Very Fast Simulated Annealing (VFSA) (Biswas, 2016; Biswas & Acharya, 2016; Biswas & Rao, 2021), Ant Colony Optimization (Liu et al., 2014, 2015; Srivastava et al., 2014); Gray Wolf Optimizer (Agarwal et al., 2018; Chandra et al., 2017), Genetic‐Price Algorithm (Di Maio et al., 2020), Cuckoo Search Algorithm (Turan‐Karaoğlan & Göktürkler, 2021), Differential Search Algorithm (Alkan & Balkaya, 2018; A. Balkaya & Kaftan, 2021; Özyalın & Sındırgı, 2023), Bat Algorithm (Essa & Diab, 2022; Gobashy et al., 2021), Differential Evolution Algorithm (Ç. Balkaya, 2013; Du et al., 2021; Ekinci, Balkaya, & Göktürkler, 2020; Ekinci et al., 2023; Göktürkler et al., 2016; Hosseinzadeh et al., 2023; Roy et al., 2021a; Sungkono, 2020); Backtracking Search Algorithm (Ekinci, Balkaya, & Göktürkler, 2021), Manta‐Ray Foraging Optimization and Social Spider Optimization (Ben et al., 2022a, 2022b, 2022c), Barnacles Mating Optimization (BMO) (Ai et al., 2022) have gained increasing attention in geophysical inversion applications. Unlike local search algorithms, these stochastic optimizers do not need a well‐designed starting point in the model space to reach the global minimum (Sen & Stoffa, 2013; Tarantola, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Balkaya & Kaftan, 2021;Özyalın & Sındırgı, 2023), Bat Algorithm (Essa & Diab, 2022;Gobashy et al, 2021), Differential Evolution Algorithm (Ç. Balkaya, 2013;Du et al, 2021;Ekinci, Balkaya, & Göktürkler, 2020;Ekinci et al, 2023;Göktürkler et al, 2016;Hosseinzadeh et al, 2023;Roy et al, 2021a;Sungkono, 2020); Backtracking Search Algorithm , Manta-Ray Foraging Optimization and Social Spider Optimization (Ben et al, 2022a(Ben et al, , 2022b(Ben et al, , 2022c, Barnacles Mating Optimization (BMO) (Ai et al, 2022) have gained increasing attention in geophysical inversion applications. Unlike local search algorithms, these stochastic optimizers do not need a well-designed starting point in the model space to reach the global minimum (Sen & Stoffa, 2013;Tarantola, 2005).…”

mentioning

confidence: 99%

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

Ai,

Ekinci,

Balkaya

et al. 2023

Earth and Space Science

View full text Add to dashboard Cite

Geomagnetic anomaly interpretation through inversion procedures often yields useful results in determining the key details of ore masses. However, the problem is complicated due to the known ambiguous phenomena of the inversion process. Thus, details such as location, depth and shape can only be estimated using an efficient algorithm. To this end, we presented here a novel global optimization algorithm called Hunger Games Search (HGS) for the inversion of geomagnetic anomalies caused by ore masses. HGS is a well‐organized metaheuristic inspired by the hunger‐driven instincts and social behavioral decisions of animals. This is the first work in the literature to introduce this optimizer for the inversion of geophysical anomalies. We revealed the model parameter dependencies and the optimum control parameter values of the algorithm by performing some modal analyses and parameter tuning studies, respectively. The capability of HGS was demonstrated on synthetically produced geomagnetic responses and on three real anomalies obtained from some exploration fields in India and the USA. Uncertainty appraisal studies showed the solidity of the outputs of the algorithm. Moreover, some comparative studies with the fine‐tuned standard Particle Swarm Optimization, a commonly used tool for the inversion of geophysical anomalies, indicated that HGS algorithm provides better results in terms of convergence characteristics and solution stabilities in the presented inverse problem. We therefore recommend the use of this metaheuristic in model parameter estimation studies when dealing with this kind of geophysical potential field problems.

show abstract

“…b. Remarkably, nature-inspired derivative-free metaheuristic algorithms have been effectively applied with proper modifications, including particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE), differential search (DS), simulated-annealing (SA), ant-colony optimization (ACO), gravitational search algorithm (GSA), bat algorithm (BA), manta-ray foraging (MRF) optimization (Balkaya et [44][45][46][47][48][49][50][51][52] [15] [53,54] . However, in general, the correctness and accuracy of the results obtained by the aforementioned interpretation techniques depend on the precision by which the anomaly of the source structure/s is extracted from the entire measured information.…”

Section: Introductionmentioning

confidence: 99%

A Novel Metaheuristic Strategy for the Elucidation of Gravity Anomalies with Application to Geothermal Energy Investigations and Volcanic Activity Studies: Hunger Games Search (HGS)

Su,

Ai,

Qin

et al. 2023

Preprint

View full text Add to dashboard Cite

Recent metaheuristic approaches are extensively and intensively being introduced to the interpretation of gravity anomalies due to their superior advantages. We emphasize the application of Hunger Games Search (HGS), a novel metaheuristic inspired by hunger-driven instincts and behavioral choices of animals, to elucidate gravity data for geothermal energy exploration and volcanic activity study. After analyzing the modal features of the predetermined objective function and tuning the algorithm control parameters involved, HGS has been trial-tested on simulated data sets of different scenarios and finally experienced in two field cases from India and Japan. Notably, a second moving average (SMA) strategy has been successfully integrated into the objective function to eradicate the regional component from observed responses. Post-inversion uncertainty tests have been also implemented to understand the reliability of solutions achieved. The solutions obtained by HGS have been compared in terms of convergence rate, accuracy, stability, and robustness with the solutions of the commonly utilized Particle Swarm Optimization (PSO) algorithm. Based on the results accessed, the theoretical and field cases presented could be recuperated more precisely, more stably, more robustly and more coherently with the available geophysical, geological, and borehole verification, as HGS is able to explore the model space more comprehensively without compromising its capability to approach the global minimum efficiently. This novel metaheuristic thus can be considered as a promising tool in geothermal energy investigations and the study of volcanic activities and further recommended to reconnaissance studies aimed at effectively recognizing subsurface structures from various geophysical anomalies.

show abstract

Interpretation of Magnetic Anomalies by Simple Geometrical Structures Using the Manta-Ray Foraging Optimization

Cited by 21 publications

References 81 publications

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Appraisal of the magnetic and geothermal anomalies of bornu basin northeast nigeria involving aero-magnetic data

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

A Novel Metaheuristic Strategy for the Elucidation of Gravity Anomalies with Application to Geothermal Energy Investigations and Volcanic Activity Studies: Hunger Games Search (HGS)

Contact Info

Product

Resources

About